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Details for article 2 of 6 found articles
| Title: |
Characterising Data Mining software |
| Author: |
C. Giraud-Carrier O. Povel |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 7 (2003) nr. 3 pages 181-192 |
| Year: |
2003-08-05 |
| Contents: |
The ever-increasing number of fielded Data Mining applications is evidence that the technology works and produces added value in a variety of business areas. Most of the research-lab generated algorithms have found their way under various guises in a number of commercial software packages. When considering the use of Data Mining, the average business user is now faced with a plethora of DM software to choose from. In order to be informed, such a choice requires a standard basis from which to compare and contrast alternatives along relevant, business-focused dimensions, as well as the location of candidate tools within the space outlined by these dimensions. This paper aims at meeting this business requirement. It presents a standard schema for the characterisation of Data Mining software tools and the results of a recent survey of 41 popular Data Mining tools described within this schema. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 6 found articles
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